Top 30 Use Cases of Artificial Intelligence in Different Sectors: Compiled by Signum.AI


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By now, AI-powered technology has entered literally every industry of our lives. It helps businesses boost revenue in such sectors as health care, entertainment and even the army, and mar-tech giants are already using it for their marketing purposes.

To help you keep up with top-notch companies that are no strangers to AI-driven assistance, here is our list of 30 best AI use cases in business promotion — sorted by category. ?

Logistics & Shipping

Logistics simply doesn’t tolerate human error. The right products need to be delivered to the right customer and at the right time. AI helps achieve that without any special effort. Here are some examples:

Route Optimization Systems

If you’re a big e-commerce company with tons of clients, the word “delay” should never be mentioned as one of your issues. AI will analyze all existing routes and suggest which ones will bring you to your destination faster.

Back-Office Tasks Automation

Back-office tasks take up a great deal of every business’s routine, so automating them would save a ton of time and allow teams to focus on high-priority work. Artificial intelligence can specifically help with:

E-mails — AI-driven tools can help process emails by analyzing content as well as user behavior, and then automatically send relevant letters to customers & stakeholders;

Reports — To ensure employee alignment and keep managers informed on the latest updates, neural software can create basic real-time reports;

Schedules — AI can help carry out package tracking, generate transport schedules and even designate workers to various tasks.

Peak Hour Prediction

High traffic on the road can literally “get in your way” of quickly delivering goods to the customer. AI-powered software, though, is capable of predicting peak hours on your way to suggest the least crowded route.


Clients usually expect immediate replies from companies, and chatbots are a perfect way to achieve that.

Smart chatbots can answer frequently asked questions, take care of ordering & reordering, tracking goods, and delivery requests. Chatbots can also analyze customer behavior to provide more relevant replies in the future. This way, the delivery process becomes less risky and unpredictable.

Autonomous Vehicles

The thing is, drivers are not allowed to be at the wheel non-stop. There’s a certain period of time they can stay “on shift,” and after that, they’re required to take a break and rejuvenate.

Self-driving vehicles, on the other hand, don’t need a driver. This speeds up the delivery process and gives you a chance to stay ahead of competitors. Plus, autonomous vehicles automatically choose the quickest route for supplying goods.

The only downside is that right now these automobiles aren’t fully developed, so we’ll have to wait a little for them to enter the market.


Today, artificial intelligence in medicine is no longer a dream — it’s a reality. Through natural language processing, and machine and deep learning domains, AI-based platforms can assist medical specialists in identifying existing and potential issues quicker and with higher efficiency.

AI analyzes vast amounts of data stored by health organizations and then provides insights humans wouldn’t be able to spot. Here’s what we mean:

Medical Imaging Analysis

Medical professionals have to analyze large amounts of clinical data and images to gain insights that might prevent potential mistakes, triage the most critical cases, and make better diagnoses in the future. This method is called medical imaging analysis.

The problem with it is that humans can’t effectively analyze huge amounts of information in a short time — AI, on the other hand, is a pro at this. By relying on neural networks, clinicians can improve health care quality and track important medical information more quickly.

Drug Discovery Platforms

AI algorithms are now capable of producing new drug applications. With the combination of biological data and AI-powered automation, a platform called Drug Discovery can expose new ways to use drugs — that is, to repurpose them.

Medical datasets are too extensive and complex to be effectively processed by humans. And don’t forget about human error. AI-powered tools help prevent it and get the most out of existing drugs. After all, it’s way cheaper to repurpose drugs than to produce them from scratch.

Cancer Treatment & Research

The cancer sector requires informed data-based decisions like no other. But the problem with oncology is that it often needs a better EHR (Electronic Health Record) system and more structured data.

That’s why there’s an AI-powered platform that gathers up-to-date medical patient information, assesses the quality of provided healthcare and enhances treatment methods. This allows to speed up the patient documentation process and improve overall health outcomes, especially in oncology.

Cost of Medicine Development

AI can help reduce the cost of developing revolutionary medicines. The algorithms use datasets of molecular structures and summaries from experimental measurements to predict which medicines will or won’t work for certain diseases.

For example, this is how the cure for the 2015 West African Ebola virus was created. The process only took a day (actually, even less). Can you imagine how much time and money it’d take humans to do the same? Exactly — months or even years. But with AI, the cost was easily decreased — and so was the time it took to develop the medicine.

Genetic Medicine Discovery

Artificial intelligence can help predict the emergence of potential genetic diseases and discover new tactics for fixing the results of any mutations.

AI-powered software collects data on medical compounds and biomarkers relevant to certain clinical cases and then analyzes it to suggest the best possible remedy. This way, even the rarest diseases get a chance to be cured.


The education industry is gradually but confidently turning to AI. To provide better learning to people of all ages (from elementary schoolers to higher education students), the algorithms resort to a variety of AI-powered tools that make the learning process faster, easier and more exciting. Let’s take a look at some of them.

Smart Textbooks

As the education sector adopts smart electronic textbooks, paper manuals are slowly becoming history. The problem with paper textbooks is that they’re too voluminous, challenging to comprehend and aren’t always available. Smart digital content, on the other hand, is always within access, easily understandable and doesn’t take ages to read.

AI’s chief goal at the moment is to get as much material online as possible, make it accessible to anybody and reduce the amount of unneeded info in textbooks. It’s the era of short study guides and electronic manuals, guys!

Test Preparation Apps

Learning doesn’t have to be boring and tiresome. To spice up the process a bit, AI is closely working with app stores to create and promote fun test preparation applications. Like, does the word Quizlet ring a bell? It’s a cool app that helps get ready for tests with colorful flashcards (yep, flashcards aren’t just for kids?).

You can study pretty much any subject, keep track of your achievements, and even create your own flashcards.

P.S. Their motivation system is a whole different topic. ?

Smart Assessment Tools

Machine learning mechanisms take assessment to the next level. They speed up the grading process, help monitor student performance and improve adaptive testing according to each student’s level of knowledge. And the best part — AI does it with maximum accuracy.

Voice Assistants

In the years to come, digital voice assistants will become an absolute go-to. Tutors all over the world are already using them to facilitate the learning process.

What’s awesome about voice assistants is that you don’t have to open your laptop or type in any keywords. Just call Alexa, and she’ll get you requested study resources in a flash. With this feature, you’ll be able to learn at any time — even offline.

Scoring & Feedback Systems

Feedback and scoring platforms help improve your knowledge in many ways, but writing is the most popular so far.

Take a look at Grammarly, for example. Using AI algorithms, the tool thoroughly analyzes your writing and offers suggestions for improvement. The platform not only corrects grammar, punctuation and word choice but also paraphrases sentences to make them sound as native and understandable as possible. Aaaand…it even sets the right tone of voice!

Anyways, be sure to check it out if you still haven’t. ?

Banking & Finance

The banking industry always calls for accuracy, and this is something AI can help with. Let’s look at some of the ways neural software can assist finance specialists.

Fraud Detection

Banks are constantly at the risk of being deceived. Their systems process thousands (if not millions) of transactions daily, and keeping track of them all with 100% accuracy is quite a challenge for humans. Let AI enter the table.

Smart machine learning algorithms quickly and faultlessly analyze all suspicious content and payments to identify fraud. This way, banks are protected from any kind of scam. And the best part — AI works in realtime, which means you can address potential fraudulent actions at their root.

Budget Management Apps

Tracking your spending is a vital skill, and if you didn’t learn it in high school, feel free to rely on mobile AI-powered apps. They’ll help manage your budget, analyze your daily, monthly and yearly spending patterns, as well as offer insights into your expenditure model.

Check out these applications if you don’t know where to start. ?

Investment Tools

Yes, AI helps with investments, and its primary function is prediction.

In real-time, special platforms analyze the market along with any ongoing changes and suggest the most effective investment plan and even stock. This way, fund managers get ahead of their competitors and win more money. Pretty cool, right?

Insurance Risk Detection

Insurance companies have to rely on data to identify any potential risks. Basically, special professionals scan the applicant’s background before going into any insurance-related procedures. It usually takes a great deal of time, but with AI, the process accelerates.

Natural language processing, one of AI’s sub-domains, analyzes massive amounts of text to identify high-risk and low-risk cases. From there, humans take over. A pretty productive collaboration, isn’t it?

Transaction Customization

Personalization is among AI’s superpowers, and it comes down even to the smallest details — like transactions. In the modern digital era, banks and other financial organizations commonly use AI-driven mobile apps to explore user behavior and provide relevant, personalized transactions.

For example, users may get an option of unlimited transactions or have their name fields automatically filled. Or, say, a lead abandoned his cart — well, special AI-powered platforms will automatically send an “abandoned cart” email to the client and, by doing so, increase the chances of him making a purchase.

Defense & Military

It may come as a surprise, but artificial intelligence is a super helpful tool even in such sectors as the military. Here’s how it works:


It’s safe to say that AI is contributing to the well-being of welfare. The US Pentagon created a program called Maven, designed to analyze tons of information and potentially detect any hostile activity. We’re talking about footage from unknown vehicles, computer hard drives, paper, thumb drives and other types of surveillance content.

Using Maven, commanders will be able to manage their unit during operations better. This way, they’ll better understand what, when and where to fire and if they should fire to begin with.

Cybersecurity Software

The enterprise surface is mushrooming with threats, and whether your company is big or small, there are still thousands of signals that need to be calculated in real-time to reduce the chance of fraud. Can you imagine humans doing it? No way.

Cybersecurity is no longer a human responsibility. Smart AI algorithms are taught to analyze millions of up-to-date events to identify any suspicious behavior, malicious codes or other hazard activity. The technology learns from past data and creates profiles of users and networks to spot any fishy activity.

Data Transmission

There are special autonomic logistics systems that use sensors embedded in each aircraft (specifically, in engines) to extract real-time data. Then, the information is analyzed by AI algorithms to decide whether the vehicle needs to be inspected for replacement.

For example, there’s the Autonomic Logistics Information System (ALIS). It transmits information about aircraft health and maintenance to relevant technicians. This keeps the jets flying.

Entertainment & Media

AI plays a crucial role in the entertainment & media industry as it provides in-depth personalization by segment and even user.

Streaming Personalizations

Isn’t it great when popular streaming platforms like Netflix give you just the recommendations you want? Well, this is thanks to artificial intelligence.

AI algorithms analyze the history of user behavior, their interests, and their preferences to suggest only relevant media in the future. Say you watch a lot of comedy series, like them, and maybe even comment. AI-powered platforms remember this info and then suggest other similar shows and movies. And this streaming personalization works for everyone, no matter the location or sphere of interest.

Subtitle Creation

With many region-specific shows becoming mainstream, subtitles are becoming an integral part of the media industry. World-class production studios want to broaden their target audience and make sure their films are understandable for audiences from other countries, so they actively create subtitles.

The only problem is that humans have a hard time creating a large amount of subtitles because it’s stressful, cost-ineffective and time-consuming. Not for AI, though. Natural language processing and production technologies will do the job in a flash so you won’t have to hire a thousand professional translators for that! ?

Search Optimization

In the modern world, crowded with loads of information, finding precisely what you need might be tough — unless you use search optimization tactics. They broaden the variety of ways you can search for the required information (now, typing in the keywords isn’t the only way to search for what you need).

Let’s say you need to find a song. Instead of typing the lyrics, try playing the tune to a special app, and it’ll find it within seconds. This is how Shazam works, for example. But search optimization isn’t just for the music industry – you can also use it to find movies by just uploading a relevant image on Google.

As you can tell, AI makes the search process easier and gives more accurate results.

Meta Data Tagging

In a nutshell, meta data tagging is the process of identifying objects in a frame (picture) and labeling them accordingly. You may have encountered such frames on Pinterest when you opened a picture, tapped on a certain object on it (say, a lamp), and the system immediately sent you to a relevant page selling these lamps.

Meta data tagging may seem like a kind of useless thing at first, but given the abundance of products and content on the web, it’s actually proven to be a profitable tactic. It’s a super-powerful method of increasing conversion rates, speeding up the sales cycle and saving customers’ time.


And here comes the classic…retail. Just like any other industry, retail companies need AI-driven assistance to promote their products and increase their leads’ likelihood of purchasing. This can be done through:

Method for Pricing

Probably one of the most popular AI use cases in the sector. Putting the right price tag on your products is quite a challenge both for small and big companies. You have to know the average cost on the market, compare your pricing strategy to what your competitors ask for similar products and still keep your clients satisfied about the quality-price duo. Doing this manually will take an eternity and cost a wad of money.

AI platforms, on the other hand, will identify the ideal price for your product based on all available data on the Internet (statistics, images, infographics and other types of content). This way, you’ll end up with an acceptable price both for your company and leads.

Purchase Prognosis

Neural software (particularly, machine learning) can predict what goods you’ll most likely want to buy. Based on the history of your visits and the analysis of your buying behavior, intelligent algorithms will anticipate what you may be interested in and suggest just that. Yup, wave goodbye to irrelevant and annoying offers! ?

Moreover, marketing giants like Amazon want to generate an algorithm that’ll predict exactly what you need and deliver the product before you even order. Quite a bright future for the retail industry, right?

Personalized Ad Campaigns

Finally, our personal favorite — personalized ad campaigns. There are so many ways you can use AI to create more targeted ad campaigns, even in this high-privacy era.

Texts, subject lines, website content and other types of creatives will become more customized for each user. AI can generate realistic deepfakes for your online store, research and collect warm target audiences, and scale your campaigns in a click. This means better sales for companies and more relevant offers for customers.

AI algorithms analyze all available content on the Internet, like your competitors’ performance indicators & their customers’ feedback, as well as emerging and existing trends. Then, this data is used to generate improved, unique creatives for your ad campaigns.

Wrapping Up

There isn’t an industry where AI can’t be applied. No matter what sector you work in, innovative neural software can help take your business to the next level, so don’t hesitate to give it a chance! ?

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